Finance

Assistant professor Chara Podimata co-authored a recent study of LLMs during the 2024 election season. "Moving forward this research (and the methodology we propose) should become a staple of every election happening in the US," she said. "We need to know what information these models are giving, how they are calibrating their responses to different users, and what the models actually 'believe.'" (Source: Tech Brew)

"It's the role of leaders to say no to good ideas," said professor Nelson P. Repenning, co-author of the book, "There's Got to Be a Better Way: How to Deliver Results and Get Rid of the Stuff That Gets in the Way of Real Work." "There's good evidence that most teams take on too much and that overload is self-inflicted."

In a recent Harvard Business Review opinion piece, referenced in this article, senior lecturer Elsbeth Johnsonwrote: "Leaders too often find themselves mired in the details of their teams, with debilitating consequences." She then outlined four challenges.

IDE digital fellow Matt Beane said: "There will be jobs lost because of AI, just as there have been with many other previous technologies. But the number of jobs lost is going to be a rounding error compared to the number of jobs changed."